TY  - JOUR
A1  - Di Baldassarre, Giuliano
A1  - Kreibich, Heidi
A1  - Vorogushyn, Sergiy
A1  - Aerts, Jeroen
A1  - Arnbjerg-Nielsen, Karsten
A1  - Barendrecht, Marlies
A1  - Bates, Paul
A1  - Borga, Marco
A1  - Botzen, Wouter
A1  - Bubeck, Philip
A1  - De Marchi, Bruna
A1  - Llasat, Carmen Maria
A1  - Mazzoleni, Maurizio
A1  - Molinari, Daniela
A1  - Mondino, Elena
A1  - Mard, Johanna
A1  - Petrucci, Olga
A1  - Scolobig, Anna
A1  - Viglione, Alberto
A1  - Ward, Philip J.
T1  - Hess Opinions: An interdisciplinary research agenda to explore the unintended consequences of structural flood protection
JF  - Hydrology and earth system sciences : HESS
N2  - One common approach to cope with floods is the implementation of structural flood protection measures, such as levees or flood-control reservoirs, which substantially reduce the probability of flooding at the time of implementation. Numerous scholars have problematized this approach. They have shown that increasing the levels of flood protection can attract more settlements and high-value assets in the areas protected by the new measures. Other studies have explored how structural measures can generate a sense of complacency, which can act to reduce preparedness. These paradoxical risk changes have been described as "levee effect", "safe development paradox" or "safety dilemma". In this commentary, we briefly review this phenomenon by critically analysing the intended benefits and unintended effects of structural flood protection, and then we propose an interdisciplinary research agenda to uncover these paradoxical dynamics of risk.
Y1  - 2018
U6  - https://doi.org/10.5194/hess-22-5629-2018
SN  - 1027-5606
SN  - 1607-7938
VL  - 22
IS  - 11
SP  - 5629
EP  - 5637
PB  - Copernicus
CY  - Göttingen
ER  - 
TY  - JOUR
A1  - Barendrecht, Marlies H.
A1  - Viglione, Alberto
A1  - Kreibich, Heidi
A1  - Merz, Bruno
A1  - Vorogushyn, Sergiy
A1  - Blöschl, G.
T1  - The Value of Empirical Data for Estimating the Parameters of a Sociohydrological Flood Risk Model
JF  - Water resources research
N2  - In this paper, empirical data are used to estimate the parameters of a sociohydrological flood risk model. The proposed model, which describes the interactions between floods, settlement density, awareness, preparedness, and flood loss, is based on the literature. Data for the case study of Dresden, Germany, over a period of 200years, are used to estimate the model parameters through Bayesian inference. The credibility bounds of their estimates are small, even though the data are rather uncertain. A sensitivity analysis is performed to examine the value of the different data sources in estimating the model parameters. In general, the estimated parameters are less biased when using data at the end of the modeled period. Data about flood awareness are the most important to correctly estimate the parameters of this model and to correctly model the system dynamics. Using more data for other variables cannot compensate for the absence of awareness data. More generally, the absence of data mostly affects the estimation of the parameters that are directly related to the variable for which data are missing. This paper demonstrates that combining sociohydrological modeling and empirical data gives additional insights into the sociohydrological system, such as quantifying the forgetfulness of the society, which would otherwise not be easily achieved by sociohydrological models without data or by standard statistical analysis of empirical data.
Y1  - 2019
U6  - https://doi.org/10.1029/2018WR024128
SN  - 0043-1397
SN  - 1944-7973
VL  - 55
IS  - 2
SP  - 1312
EP  - 1336
PB  - American Geophysical Union
CY  - Washington
ER  -